Vetted Log Analysis Professionals

“Customer-facing platform support professional focused on application security and reliability for SaaS integrations, with hands-on experience troubleshooting API auth failures and data update issues using Linux/app/DB logs, SQL, and monitoring. Demonstrates strong security fundamentals (least privilege, TLS/access controls, credential rotation) and can design secure AWS agent integrations while also supporting Azure containerized REST API deployments via CI/CD.”

“QA automation engineer who owned an end-to-end, device-integrated mobile regression suite for Tandem’s insulin-pump-connected mobile app, covering pairing/connectivity/data sync and catching contract mismatches and firmware-related connectivity regressions. Strong in Cypress/JavaScript automation, CI gating in GitHub Actions, and diagnosing production-impacting sync issues using logs and API traces while influencing requirements early to improve testability and UX.”

“Customer-facing application security/support professional who helps teams operationalize SAST/DAST/SCA in CI/CD, reduce false positives, and prioritize remediation by business risk. Has hands-on experience troubleshooting intermittent pipeline failures (rate limiting/timeouts under parallel load) using logs/metrics/traces, and driving durable outcomes via runbooks/KB documentation and phased security rollouts across stakeholders.”

“Robotics/embedded platform engineer who led compute provisioning and ROS2 platform development for a smart electrical panel, building a full ROS2 stack that bridges mobile app requests (via AWS IoT/MQTT) to signal-level CAN commands and returns telemetry/logs to the cloud. Demonstrated strong full-stack debugging by resolving flaky CAN traffic down to a custom PCB transceiver standby-pin grounding issue, and improved real-time behavior by refactoring middleware into C++ with timer-scheduled publishes to meet firmware watchdog expectations.”

“UNIX operations-focused candidate with hands-on AIX/Solaris troubleshooting and Bash automation experience, including resolving a production connectivity outage caused by a host table IP misconfiguration. Has supported a re-platform migration of a home-grown application by working directly with developers and running parallel testing prior to cutover; no direct IBM Power (VIOS/HMC/LPAR) or NIM/PowerHA experience.”

“AWS Cloud DevOps Engineer focused on production Linux environments, building secure CI/CD pipelines (Jenkins/GitHub) to deploy Dockerized services to AWS ECS and automating infrastructure with Terraform/CloudFormation. Strong in operational troubleshooting and scaling (CloudWatch-driven performance remediation, Auto Scaling/ELB, multi-AZ HA patterns), but explicitly does not have IBM Power/AIX or PowerHA/HACMP experience.”

“Full-stack product engineer who has shipped customer-facing features end-to-end, including a product detail page backed by Java/Spring Boot microservices and a React/TypeScript UI. Demonstrated measurable impact through performance and maintainability improvements (30% faster APIs, 25% less duplicated UI code, 40% reduced API complexity via GraphQL) and has operated/scaled apps on AWS with CI/CD, monitoring, and incident-driven scaling fixes.”

“AI/ML engineer who shipped a production blood-test report understanding and personalized supplement recommendation product, using a LangGraph multi-agent pipeline on AWS serverless with OCR via Bedrock and RAG over vetted clinical research. Also built end-to-end recommender system pipelines at ASANTe using Airflow (ingestion, embeddings/features, training, registry, batch scoring/monitoring) with KPI reporting to Tableau, with a strong focus on safety, evaluation, and measurable reliability.”

“ML engineer with hands-on experience taking a Gaussian Process Regression-based intelligent survey timing system from build to real-world deployment, including a 3-week RCT on 120 participants and measurable improvements (15% response rate, 23% data quality). Also served as a key technical resource at CData for customer-facing demos and debugging hundreds of production issues, bridging engineering with Sales and Customer Success.”